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Sensor Algorithm Engineer Jobs in Azusa, CA (NOW HIRING)

As a GNC Engineer at Inversion, you will have an instrumental impact on the functionality and ... algorithms including Kalman filtering, sensor fusion, and state estimation. * Solid grasp of ...

Sr. GNC Engineer

Long Beach, CA

$109K - $150K/yr

Develop GNC algorithms, models and software * Develop, analyze and review data to validate and ... Develop sensor and support Avionics systems requirements * Support critical sensor (e.g. IMU ...

Sr. GNC Engineer

Long Beach, CA · On-site

$155K - $226K/yr

Develop GNC algorithms, models and software * Develop, analyze and review data to validate and ... Develop sensor and support Avionics systems requirements * Support critical sensor (e.g. IMU ...

Sr. GNC Engineer

Long Beach, CA · On-site

$155K - $226K/yr

Develop GNC algorithms, models and software * Develop, analyze and review data to validate and ... Develop sensor and support Avionics systems requirements * Support critical sensor (e.g. IMU ...

Key Responsibilities * Contribute to the development of software for sensor data ingestion ... Data Structures and Algorithms * Operating Systems * Databases or Systems Programming * Proficiency ...

Work closely with the simulation and software teams to prototype and analyze GNC algorithms in the ... Deep expertise in perception and navigation systems, including sensor integration, image processing ...

Effector Guidance Software Engineer

Hawthorne, CA · On-site +1

$160K - $240K/yr

Experience with design and implementation of guidance algorithms for UAS platforms using commercial ... Experience with radar sensor integration * Experience with firmware development using VHDL and ...

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Sensor Algorithm Engineer information

See Azusa, CA salary details

$60.5K

$113.6K

$206.5K

How much do sensor algorithm engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for sensor algorithm engineer in Azusa, CA is $113,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $134,800.00 per year, depending on experience, location, and employer.

What is the definition of sensor?

A sensor is a device used by a Sensor Algorithm Engineer to detect and measure physical properties such as temperature, pressure, or motion. It converts these measurements into signals that can be processed by algorithms to interpret environmental conditions or system states. Understanding sensor types and characteristics is essential for developing accurate and reliable sensor-based systems.

What are the key skills and qualifications needed to thrive as a Sensor Algorithm Engineer, and why are they important?

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

What does a Sensor Algorithm Engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

What is the difference between censor and sensor?

In the context of a Sensor Algorithm Engineer role, a sensor is a device that detects physical properties like temperature, motion, or light and converts them into signals for processing. Censor is not a standard term in this field; it may be a misspelling or confusion with 'censor,' which means to suppress or hide information. Understanding sensor types and their data processing is essential for developing effective algorithms in this role.

What is the difference between Sensor Algorithm Engineer vs Signal Processing Engineer?

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

What is a synonym for sensor?

A sensor is a device that detects and measures physical properties such as temperature, pressure, or motion. In the context of a Sensor Algorithm Engineer, understanding different types of sensors and their functions is essential for developing accurate algorithms and processing data effectively.

How does a Sensor Algorithm Engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.

What is a sensor also known as?

A sensor is also known as a transducer or detector, as it converts physical stimuli into electrical signals for processing. Sensor algorithm engineers often work with these devices to develop accurate data interpretation algorithms.
What job categories do people searching Sensor Algorithm Engineer jobs in Azusa, CA look for? The top searched job categories for Sensor Algorithm Engineer jobs in Azusa, CA are:
What cities near Azusa, CA are hiring for Sensor Algorithm Engineer jobs? Cities near Azusa, CA with the most Sensor Algorithm Engineer job openings:

Rover Navigation/Localization Engineer

Astrolab

Hawthorne, CA • On-site

$132K - $209K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

Rover Navigation/Localization Engineer
Application Deadline: 27 July 2026
Department: Software Engineering
Employment Type: Full Time
Location: Hawthorne, California
Reporting To: Denise Brown
Compensation: $132,000 - $209,000 / year
Description
Venturi Astrolab, Inc. (Astrolab) is pioneering new ways to explore and operate on distant planetary bodies. We are singularly focused on designing, building, and operating a fleet of multi-purpose commercial planetary rovers to extend and enhance humanity's presence in the solar system. We are seeking motivated, creative, and exceptional people to join our world-class team.
The rover navigation/localization engineer will be responsible for the design, analysis, development, tuning, verification, and validation of localization solutions for Astrolab's rovers. Astrolab's localization solutions utilize inputs from multiple types of sensors (e.g. IMU, star tracker, Lidar, cameras) to estimate vehicle state while also tolerating real world conditions such as data dropouts, invalid data, transmission latencies, and similar. The rover navigation/localization engineer will be creating localization solutions that function reliably under real world conditions.
What you'll do:
  • Design, prototype, and analyze navigation/localization algorithms for extraplanetary mobility systems using simulated and real data from motor resolvers, IMUs, star trackers, cameras, and lidars
  • Support development of a GNC simulation, sensor models, and tooling for analysis, verification, and validation of rover localization algorithms
  • Analyze localization algorithm performance under real-world conditions such as faulty sensors, invalid data, data dropouts, variable data latencies, and poor lighting conditions
  • Perform Monte Carlo analysis to demonstrate localization algorithm performance to a high degree of statistical significance under nominal and off-nominal conditions
  • Support navigation/localization flight software implementation, testing, and verification
  • Support field testing of localization solutions on multiple test platforms
  • Stand up automated pipelines, test scenarios, test pass/fail criteria, and test reports for localization flight software verification and validation
  • Support live rover operations and troubleshoot any localization issues that may arise during lunar operations

What you'll bring:
  • 7+ years designing, developing, and testing real world navigation/localization systems for rovers or GPS-denied navigation systems for terrestrial wheeled vehicles
  • Significant experience with odometry based on multiple sensors (e.g. IMU, wheel resolvers, LIDAR, cameras, etc.)
  • Significant experience designing, tuning, developing, analyzing, and verifying Kalman filters, particle filters, or similar for wheeled vehicle navigation/localization
  • Strong familiarity with equations of motion for wheeled vehicles operating on challenging terrain
  • Experience with practical application of visual odometry algorithms
  • Significant experience dealing with real world issues that affect navigation/localization system design and performance, such as invalid data, dropped packets, data latencies, blurry images, and similar
  • Experience supporting a navigation/localization system through the entire lifecycle, from early design through live vehicle operations
  • Strong C++ and Python coding skills
  • Experience developing the tool suite needed for verification and validation of navigation/localization algorithms and flight software

Benefits and Perks
  • Join a team of best-in-class engineers building the foundation of planetary surface exploration
  • Equity ownership in the company
  • Comprehensive health benefits, including medical, dental, vision, and mental health support
  • 401(k) plan with company match
  • Flexible PTO and parental leave
  • Home office set up reimbursement
  • Weekly lunch stipend, plus complimentary snacks and beverages on-site
  • Once a month social hour on-site with food and drinks